
George O’Neill enhanced FieldLine OPM data handling in the spm/spm repository, focusing on robust support for channels lacking position information. Using MATLAB, he improved the data ingestion and processing logic to accommodate incomplete channel metadata, which broadened analytics coverage and reduced downstream errors. His work addressed stability issues by refining how the system processes OPM data with missing positions, minimizing data gaps and improving reliability for subsequent analysis. The technical approach leveraged MATLAB programming, data processing, and signal processing skills, resulting in a targeted feature that deepened the repository’s ability to manage diverse and imperfect real-world datasets.
January 2026 (2026-01) – spm/spm: Delivered enhanced FieldLine OPM data handling with improved support for channels lacking position information, and applied a bug fix for OPM data with no positions. Strengthened data ingestion reliability and broadened analytics coverage across channels.
January 2026 (2026-01) – spm/spm: Delivered enhanced FieldLine OPM data handling with improved support for channels lacking position information, and applied a bug fix for OPM data with no positions. Strengthened data ingestion reliability and broadened analytics coverage across channels.

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